Circulating Exosomal miR-1290 for Diagnosis of Epithelial Ovarian Cancer

The aim of the study was to develop a new diagnostic biomarker for identifying serum exosomal miRNAs specific to epithelial ovarian cancer (EOC) and to find out target gene of the miRNA for exploring the molecular mechanisms in EOC. A total of 84 cases of ovarian masses and sera were enrolled, comprising EOC (n = 71), benign ovarian neoplasms (n = 13). We detected expression of candidate miRNAs in the serum and tissue of both benign ovarian neoplasm group and EOC group using real-time polymerase chain reaction. Immunohistochemistry were constructed using formalin fixed paraffin embedded (FFPE) tissue to detect expression level of suppressor of cytokine signaling 4 (SOCS4). In the EOC group, miRNA-1290 was significantly overexpressed in serum exosomes and tissues as compared to benign ovarian neoplasm group (fold change ≥ 2, p < 0.05). We observed area under the receiver operating characteristic curve (AUC) for miR-1290, using a cut-off of 0.73, the exosomal miR-1290 from serum had AUC, sensitivity, and specificity values of 0.794, 69.2 and 87.3, respectively. In immunohistochemical study, expression of SOCS4 in EOC was lower than that in benign ovarian neoplasm. Serum exosomal miR-1290 could be considered as a biomarker for differential diagnosis of EOC from benign ovarian neoplasm and SOCS4 might be potential target gene of miR-1290 in EOC.

Spontaneous vaginoperitoneal fistula as a rare complication of carcinoma ovary: a case report

Background Spontaneous vaginoperitoneal fistula formation in a case of carcinoma ovary is a very rare occurrence and has never been reported. Case presentation A 55-year-old postmenopausal lady presented with complaints of abdominal distention and mass coming out of the vagina for the last 10 days. On examination, she had tense ascites, uterovaginal prolapse and hard, fixed mass felt anteriorly on per-rectal examination. Biochemical investigations and radiological imaging suggested advanced stage ovarian neoplasm. She was planned for neoadjuvant chemotherapy. During the second cycle of chemotherapy, she developed spontaneous vaginoperitoneal fistula which was confirmed on exploratory laparotomy where interval debulking surgery was performed in collaboration with gastro-surgeons on a semi-emergency basis. The postoperative course was uneventful. Conclusion Spontaneous vaginoperitoneal fistula is a rare complication and should be kept in mind while managing advanced ovarian neoplasm.

Brenner tumors

Brenner tumors are rare ovarian neoplasms composed of ovarian transition cells surrounded by dense fibrous tissue. Most of them are small tumors (<2 cm), detected incidentally in asymptomatic women. Its predominantly fibrous content results in relatively low signal on T2 weighted images, establishing differential diagnosis with ovarian fibroma and thecoma. Their imaging features are very similar, the differentiation is based on secondary characteristics, such as signs or symptoms of estrogen excess and the presence of a second ovarian neoplasm, which has been reported in up to 30% of patients with Brenner tumor. Although originally thought to be universally benign, there have been scattered reports in the past decades of borderline and malignant forms of Brenner tumors.

Isolated psoas hydatidosis mimicking ovarian neoplasm

We report a unique case of hydatid cyst in iliopsoas muscle in a 65-year-old postmenopausal female. She presented with lump abdomen. On performing exploratory laparotomy, we discovered iliopsoas hydatidosis. This case reports the diagnostic dilemmas that a hydatid cyst can pose and the implications it has on management.

Approach to Gynecological Adnexal Masses

Gynecological pelvic masses are a common occurrence in women of all ages. The differential diagnosis is extensive and includes masses of all anatomical components of the female reproductive tract. This simple and refined approach leads the reader through the process of narrowing said differential. A thorough history and physical examination are essential steps that can hint to the appropriate investigations such as reproductive hormone levels, serum cancer biomarkers and imaging. Emphasis is put on ultrasound findings, helping differentiate not only diagnoses, but also the benign or malignant character of the mass. It also highlights the Risk of Malignancy Index I, commonly used in clinical practice to assess the risk of malignancy of a mass. Beyond the initial approach, some diagnoses and their management are discussed, from the very common functional cyst to the worrisome ovarian neoplasm, and mentioning more peculiar findings like tubo-ovarian abscess and leiomyoma.

A radiomics approach for automated diagnosis of ovarian neoplasm malignancy in computed tomography

This paper develops a two-dimensional (2D) radiomics approach with computed tomography (CT) to differentiate between benign and malignant ovarian neoplasms. A retrospective study was conducted from July 2017 to June 2019 for 134 patients with surgically-verified benign or malignant ovarian tumors. The patients were randomly divided in a ratio of 7:3 into two sets, namely a training set (of n = 95) and a test set (of n = 39). The ITK-SNAP software was used to delineate the regions of interest (ROI) associated with lesions of the largest diameters in plain CT image slices. Texture features were extracted by the Analysis Kit (AK) software. The training set was used to select the best features according to the maximum-relevance minimum-redundancy (mRMR) criterion, in addition to the algorithm of the least absolute shrinkage and selection operator (LASSO). Then, we employed a radiomics model for classification via multivariate logistic regression. Finally, we evaluated the overall performance of our method using the receiver operating characteristics (ROC), the DeLong test. and tested in an external validation test sample of patients of ovarian neoplasm. We created a radiomics prediction model from 14 selected features. The radiomic signature was found to be highly discriminative according to the area under the ROC curve (AUC) for both the training set (AUC = 0.88), and the test set (AUC = 0.87). The radiomics nomogram also demonstrated good calibration and differentiation for both the training (AUC = 0.95) and test (AUC = 0.96) samples. External validation tests gave a good performance in radiomic signature (AUC = 0.83) and radiomics nomogram (AUC = 0.95). The decision curve explicitly indicated the clinical usefulness of our nomogram method in the sense that it can influence major clinical events such as the ordering or abortion of other tests, treatments or invasive procedures. Our radiomics model based on plain CT images has a high diagnostic efficiency, which is helpful for the identification and prediction of benign and malignant ovarian neoplasms.